Is the Program Manager, PIC Data Engineering position at Nokia fully remote?

Yes, this Program Manager, PIC Data Engineering position at Nokia is a remote position. The role is available for candidates in United States.

Is this a full-time or part-time Program Manager, PIC Data Engineering role?

This is a full-time Program Manager, PIC Data Engineering position at Nokia.

What are the main requirements for the Program Manager, PIC Data Engineering role?

Key requirements include: extensive experience: 15+ years of progressive experience in data engineering, data architecture, or related fields, with a proven track record of delivering impactful solutions in wafer and chip fabrication process., education: bachelor's degree. master's degree preferred., leadership acumen: 5+ years of experience leading, developing, and inspiring technical teams, fostering a collaborative and high-achieving environment., and more.

How do I apply for the Program Manager, PIC Data Engineering position at Nokia?

You can apply for this Program Manager, PIC Data Engineering position by clicking the "Apply Now" button on this page, which will take you to Nokia's application portal.

Program Manager, PIC Data Engineering at Nokia

United States

At Nokia, we are shaping the future of connectivity and innovation. We are seeking a visionary and experienced Program Manager, PIC Data Engineering, to lead the development of our next-generation data platforms, driving strategic insights and enabling AI-powered solutions across our global enterprise for photonic integrated circuit (PICs) technology. This role is critical in building the robust, secure, and scalable data foundations that underpin Nokia's digital transformation and technological leadership. <h3>Responsibilities</h3><ul type="disc" style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(36, 36, 36); font-family: "Segoe UI", "Segoe UI Web (West European)", -apple-system, BlinkMacSystemFont, Roboto, "Helvetica Neue", sans-serif; font-size: 15px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; list-style-type: disc; margin-bottom: 0in; margin-top: 0in; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Strategic Data Architecture: Lead the architectural design and hands-on implementation of cutting-edge, scalable cloud-based lakehouse and data warehouse solutions in PICs operation, primarily leveraging Databricks and AWS or alike to support Nokia's evolving operation data needs.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Data Model Evolution: Drive the design, optimization, and evolution of enterprise data models and semantic layers, ensuring they are robust, future-proof, and aligned with business objectives.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">High-Performance Data Pipelines: Engineer, build, and maintain resilient, high-performance batch and real-time data pipelines, encompassing advanced ETL/ELT and streaming solutions to deliver timely and accurate data.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Data Trust & Quality: Establish and champion comprehensive data quality frameworks, monitoring, and observability practices to ensure the integrity, reliability, and trustworthiness of our data assets.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Operational Excellence: Implement CI/CD pipelines and DataOps best practices, fostering automation, reliability, and secure deployment across our data ecosystem.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Enterprise Data Governance: Spearhead the implementation of robust enterprise data governance standards, including data cataloging, lineage, metadata management, and stringent data access controls.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Security by Design: Design and enforce strong security protocols and role-based access management across all enterprise data platforms, safeguarding sensitive information.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">AI-Ready Data Foundations: Build governed, AI-ready data foundations that empower self-service analytics, AI-assisted data exploration, and advanced analysis, leveraging capabilities such as Databricks Genie and Genie Code.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Empowering Data Users: Enable business, engineering, and analytics teams to securely access trusted enterprise data, fostering conversational analytics and AI-assisted analysis while upholding stringent governance, security, and data quality standards.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Innovation Catalyst: Develop the foundational data infrastructure essential for pioneering AI, automation, machine learning, and advanced analytics initiatives that drive Nokia's competitive edge.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Team Leadership & Mentorship: Lead, mentor, and inspire a high-performing team of product engineers, setting technical standards, promoting engineering best practices, and fostering continuous professional growth.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Culture of Excellence: Champion a culture of data excellence, accountability, self-service enablement, and continuous innovation within the organization.</li></ul> <h3>Qualifications</h3><ul type="disc" style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(36, 36, 36); font-family: "Segoe UI", "Segoe UI Web (West European)", -apple-system, BlinkMacSystemFont, Roboto, "Helvetica Neue", sans-serif; font-size: 15px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; list-style-type: disc; margin-bottom: 0in; margin-top: 0in; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Extensive Experience: 15+ years of progressive experience in data engineering, data architecture, or related fields, with a proven track record of delivering impactful solutions in wafer and chip fabrication process.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Education: Bachelor's degree. Master's degree preferred.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Leadership Acumen: 5+ years of experience leading, developing, and inspiring technical teams, fostering a collaborative and high-achieving environment.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Technical Mastery: Deep expertise in SQL, modern cloud data platforms, and distributed data processing frameworks.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Cloud Data Platform Proficiency: Hands-on experience with leading cloud data platforms such as Databricks, Redshift, or BigQuery.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Governed Data Platforms: Demonstrated experience in building governed data platforms and data products that effectively support self-service analytics, AI-assisted analytics, machine learning, and advanced analytical workloads.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Databricks Ecosystem (Preferred): Experience with Databricks capabilities, including lakehouse architecture, Unity Catalog, and AI-assisted analytics features like Genie and Genie Code, is highly preferred.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Data Modeling Expertise: Strong understanding of enterprise data modeling principles, including dimensional modeling and semantic layers.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Orchestration & Automation: Experience with data orchestration tools and advanced data pipeline automation techniques.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Scalability & Reliability: Proven ability to design and implement scalable, secure, governed, and reliable enterprise data solutions.</li><li class="x_MsoNormal" style="color: black; font-family: Aptos, sans-serif; font-size: 12pt; list-style-type: unset; margin-bottom: 0in; margin-right: 0in; margin-top: 0in;">Collaborative Communication: Exceptional communication and interpersonal skills, with a proven ability to partner cross-functionally with business, engineering, analytics, and technology teams to drive shared success.</li></ul>

Apply Now

Remote Opportunity

Program Manager, PIC Data Engineering

Join Nokia as a staff professional working remotely from United States. Explore the role, benefits, and apply in one place.

Program Manager, PIC Data Engineering

Nokia

Full Time

3 weeks ago

United States

Engineering

Staff

Data engineering

Data Architecture

SQL

+5 more

Job Description

At Nokia, we are shaping the future of connectivity and innovation. We are seeking a visionary and experienced Program Manager, PIC Data Engineering, to lead the development of our next-generation data platforms, driving strategic insights and enabling AI-powered solutions across our global enterprise for photonic integrated circuit (PICs) technology. This role is critical in building the robust, secure, and scalable data foundations that underpin Nokia's digital transformation and technological leadership.

Responsibilities

Strategic Data Architecture: Lead the architectural design and hands-on implementation of cutting-edge, scalable cloud-based lakehouse and data warehouse solutions in PICs operation, primarily leveraging Databricks and AWS or alike to support Nokia's evolving operation data needs.
Data Model Evolution: Drive the design, optimization, and evolution of enterprise data models and semantic layers, ensuring they are robust, future-proof, and aligned with business objectives.
High-Performance Data Pipelines: Engineer, build, and maintain resilient, high-performance batch and real-time data pipelines, encompassing advanced ETL/ELT and streaming solutions to deliver timely and accurate data.
Data Trust & Quality: Establish and champion comprehensive data quality frameworks, monitoring, and observability practices to ensure the integrity, reliability, and trustworthiness of our data assets.
Operational Excellence: Implement CI/CD pipelines and DataOps best practices, fostering automation, reliability, and secure deployment across our data ecosystem.
Enterprise Data Governance: Spearhead the implementation of robust enterprise data governance standards, including data cataloging, lineage, metadata management, and stringent data access controls.
Security by Design: Design and enforce strong security protocols and role-based access management across all enterprise data platforms, safeguarding sensitive information.
AI-Ready Data Foundations: Build governed, AI-ready data foundations that empower self-service analytics, AI-assisted data exploration, and advanced analysis, leveraging capabilities such as Databricks Genie and Genie Code.
Empowering Data Users: Enable business, engineering, and analytics teams to securely access trusted enterprise data, fostering conversational analytics and AI-assisted analysis while upholding stringent governance, security, and data quality standards.
Innovation Catalyst: Develop the foundational data infrastructure essential for pioneering AI, automation, machine learning, and advanced analytics initiatives that drive Nokia's competitive edge.
Team Leadership & Mentorship: Lead, mentor, and inspire a high-performing team of product engineers, setting technical standards, promoting engineering best practices, and fostering continuous professional growth.
Culture of Excellence: Champion a culture of data excellence, accountability, self-service enablement, and continuous innovation within the organization.

Qualifications

Extensive Experience: 15+ years of progressive experience in data engineering, data architecture, or related fields, with a proven track record of delivering impactful solutions in wafer and chip fabrication process.
Education: Bachelor's degree. Master's degree preferred.
Leadership Acumen: 5+ years of experience leading, developing, and inspiring technical teams, fostering a collaborative and high-achieving environment.
Technical Mastery: Deep expertise in SQL, modern cloud data platforms, and distributed data processing frameworks.
Cloud Data Platform Proficiency: Hands-on experience with leading cloud data platforms such as Databricks, Redshift, or BigQuery.
Governed Data Platforms: Demonstrated experience in building governed data platforms and data products that effectively support self-service analytics, AI-assisted analytics, machine learning, and advanced analytical workloads.
Databricks Ecosystem (Preferred): Experience with Databricks capabilities, including lakehouse architecture, Unity Catalog, and AI-assisted analytics features like Genie and Genie Code, is highly preferred.
Data Modeling Expertise: Strong understanding of enterprise data modeling principles, including dimensional modeling and semantic layers.
Orchestration & Automation: Experience with data orchestration tools and advanced data pipeline automation techniques.
Scalability & Reliability: Proven ability to design and implement scalable, secure, governed, and reliable enterprise data solutions.
Collaborative Communication: Exceptional communication and interpersonal skills, with a proven ability to partner cross-functionally with business, engineering, analytics, and technology teams to drive shared success.

Requirements

extensive experience: 15+ years of progressive experience in data engineering, data architecture, or related fields, with a proven track record of delivering impactful solutions in wafer and chip fabrication process.
education: bachelor's degree. master's degree preferred.
leadership acumen: 5+ years of experience leading, developing, and inspiring technical teams, fostering a collaborative and high-achieving environment.
technical mastery: deep expertise in sql, modern cloud data platforms, and distributed data processing frameworks.
cloud data platform proficiency: hands-on experience with leading cloud data platforms such as databricks, redshift, or bigquery.
governed data platforms: demonstrated experience in building governed data platforms and data products that effectively support self-service analytics, ai-assisted analytics, machine learning, and advanced analytical workloads.
databricks ecosystem (preferred): experience with databricks capabilities, including lakehouse architecture, unity catalog, and ai-assisted analytics features like genie and genie code, is highly preferred.
data modeling expertise: strong understanding of enterprise data modeling principles, including dimensional modeling and semantic layers.

Skills

Data engineering

Data Architecture

SQL

Databricks

AWS

Cloud Data Platforms

Data Modeling

ETL/ELT

Ready to Apply?

Join Nokia today

Posted 3 weeks ago

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